Global Machine Learning Operations (MLOps) Platform Market Research Report 2024

Publication ID:

PB506247834

Publication Date:

June 21, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global Machine Learning Operations (MLOps) Platform market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for Machine Learning Operations (MLOps) Platform is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Machine Learning Operations (MLOps) Platform is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Machine Learning Operations (MLOps) Platform in BFSI is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Machine Learning Operations (MLOps) Platform include IBM, DataRobot, SAS, Microsoft, Amazon, Google, Dataiku, Databricks and HPE, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Machine Learning Operations (MLOps) Platform, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Machine Learning Operations (MLOps) Platform.
Report Scope
The Machine Learning Operations (MLOps) Platform market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Machine Learning Operations (MLOps) Platform market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Machine Learning Operations (MLOps) Platform companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
IBM
DataRobot
SAS
Microsoft
Amazon
Google
Dataiku
Databricks
HPE
Lguazio
ClearML
Modzy
Comet
Cloudera
Paperpace
Valohai
Segment by Type
On-premise
Cloud
Others
Segment by Application
BFSI
Healthcare
Retail
Manufacturing
Public Sector
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Machine Learning Operations (MLOps) Platform companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Machine Learning Operations (MLOps) Platform Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 On-premise
1.2.3 Cloud
1.2.4 Others
1.3 Market by Application
1.3.1 Global Machine Learning Operations (MLOps) Platform Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 BFSI
1.3.3 Healthcare
1.3.4 Retail
1.3.5 Manufacturing
1.3.6 Public Sector
1.3.7 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine Learning Operations (MLOps) Platform Market Perspective (2019-2030)
2.2 Machine Learning Operations (MLOps) Platform Growth Trends by Region
2.2.1 Global Machine Learning Operations (MLOps) Platform Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Machine Learning Operations (MLOps) Platform Historic Market Size by Region (2019-2024)
2.2.3 Machine Learning Operations (MLOps) Platform Forecasted Market Size by Region (2025-2030)
2.3 Machine Learning Operations (MLOps) Platform Market Dynamics
2.3.1 Machine Learning Operations (MLOps) Platform Industry Trends
2.3.2 Machine Learning Operations (MLOps) Platform Market Drivers
2.3.3 Machine Learning Operations (MLOps) Platform Market Challenges
2.3.4 Machine Learning Operations (MLOps) Platform Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Machine Learning Operations (MLOps) Platform Players by Revenue
3.1.1 Global Top Machine Learning Operations (MLOps) Platform Players by Revenue (2019-2024)
3.1.2 Global Machine Learning Operations (MLOps) Platform Revenue Market Share by Players (2019-2024)
3.2 Global Machine Learning Operations (MLOps) Platform Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Machine Learning Operations (MLOps) Platform Revenue
3.4 Global Machine Learning Operations (MLOps) Platform Market Concentration Ratio
3.4.1 Global Machine Learning Operations (MLOps) Platform Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine Learning Operations (MLOps) Platform Revenue in 2023
3.5 Machine Learning Operations (MLOps) Platform Key Players Head office and Area Served
3.6 Key Players Machine Learning Operations (MLOps) Platform Product Solution and Service
3.7 Date of Enter into Machine Learning Operations (MLOps) Platform Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine Learning Operations (MLOps) Platform Breakdown Data by Type
4.1 Global Machine Learning Operations (MLOps) Platform Historic Market Size by Type (2019-2024)
4.2 Global Machine Learning Operations (MLOps) Platform Forecasted Market Size by Type (2025-2030)
5 Machine Learning Operations (MLOps) Platform Breakdown Data by Application
5.1 Global Machine Learning Operations (MLOps) Platform Historic Market Size by Application (2019-2024)
5.2 Global Machine Learning Operations (MLOps) Platform Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Machine Learning Operations (MLOps) Platform Market Size (2019-2030)
6.2 North America Machine Learning Operations (MLOps) Platform Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Machine Learning Operations (MLOps) Platform Market Size by Country (2019-2024)
6.4 North America Machine Learning Operations (MLOps) Platform Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Machine Learning Operations (MLOps) Platform Market Size (2019-2030)
7.2 Europe Machine Learning Operations (MLOps) Platform Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Machine Learning Operations (MLOps) Platform Market Size by Country (2019-2024)
7.4 Europe Machine Learning Operations (MLOps) Platform Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Machine Learning Operations (MLOps) Platform Market Size (2019-2030)
8.2 Asia-Pacific Machine Learning Operations (MLOps) Platform Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Machine Learning Operations (MLOps) Platform Market Size by Region (2019-2024)
8.4 Asia-Pacific Machine Learning Operations (MLOps) Platform Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Machine Learning Operations (MLOps) Platform Market Size (2019-2030)
9.2 Latin America Machine Learning Operations (MLOps) Platform Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Machine Learning Operations (MLOps) Platform Market Size by Country (2019-2024)
9.4 Latin America Machine Learning Operations (MLOps) Platform Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Machine Learning Operations (MLOps) Platform Market Size (2019-2030)
10.2 Middle East & Africa Machine Learning Operations (MLOps) Platform Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Machine Learning Operations (MLOps) Platform Market Size by Country (2019-2024)
10.4 Middle East & Africa Machine Learning Operations (MLOps) Platform Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM Machine Learning Operations (MLOps) Platform Introduction
11.1.4 IBM Revenue in Machine Learning Operations (MLOps) Platform Business (2019-2024)
11.1.5 IBM Recent Development
11.2 DataRobot
11.2.1 DataRobot Company Detail
11.2.2 DataRobot Business Overview
11.2.3 DataRobot Machine Learning Operations (MLOps) Platform Introduction
11.2.4 DataRobot Revenue in Machine Learning Operations (MLOps) Platform Business (2019-2024)
11.2.5 DataRobot Recent Development
11.3 SAS
11.3.1 SAS Company Detail
11.3.2 SAS Business Overview
11.3.3 SAS Machine Learning Operations (MLOps) Platform Introduction
11.3.4 SAS Revenue in Machine Learning Operations (MLOps) Platform Business (2019-2024)
11.3.5 SAS Recent Development
11.4 Microsoft
11.4.1 Microsoft Company Detail
11.4.2 Microsoft Business Overview
11.4.3 Microsoft Machine Learning Operations (MLOps) Platform Introduction
11.4.4 Microsoft Revenue in Machine Learning Operations (MLOps) Platform Business (2019-2024)
11.4.5 Microsoft Recent Development
11.5 Amazon
11.5.1 Amazon Company Detail
11.5.2 Amazon Business Overview
11.5.3 Amazon Machine Learning Operations (MLOps) Platform Introduction
11.5.4 Amazon Revenue in Machine Learning Operations (MLOps) Platform Business (2019-2024)
11.5.5 Amazon Recent Development
11.6 Google
11.6.1 Google Company Detail
11.6.2 Google Business Overview
11.6.3 Google Machine Learning Operations (MLOps) Platform Introduction
11.6.4 Google Revenue in Machine Learning Operations (MLOps) Platform Business (2019-2024)
11.6.5 Google Recent Development
11.7 Dataiku
11.7.1 Dataiku Company Detail
11.7.2 Dataiku Business Overview
11.7.3 Dataiku Machine Learning Operations (MLOps) Platform Introduction
11.7.4 Dataiku Revenue in Machine Learning Operations (MLOps) Platform Business (2019-2024)
11.7.5 Dataiku Recent Development
11.8 Databricks
11.8.1 Databricks Company Detail
11.8.2 Databricks Business Overview
11.8.3 Databricks Machine Learning Operations (MLOps) Platform Introduction
11.8.4 Databricks Revenue in Machine Learning Operations (MLOps) Platform Business (2019-2024)
11.8.5 Databricks Recent Development
11.9 HPE
11.9.1 HPE Company Detail
11.9.2 HPE Business Overview
11.9.3 HPE Machine Learning Operations (MLOps) Platform Introduction
11.9.4 HPE Revenue in Machine Learning Operations (MLOps) Platform Business (2019-2024)
11.9.5 HPE Recent Development
11.10 Lguazio
11.10.1 Lguazio Company Detail
11.10.2 Lguazio Business Overview
11.10.3 Lguazio Machine Learning Operations (MLOps) Platform Introduction
11.10.4 Lguazio Revenue in Machine Learning Operations (MLOps) Platform Business (2019-2024)
11.10.5 Lguazio Recent Development
11.11 ClearML
11.11.1 ClearML Company Detail
11.11.2 ClearML Business Overview
11.11.3 ClearML Machine Learning Operations (MLOps) Platform Introduction
11.11.4 ClearML Revenue in Machine Learning Operations (MLOps) Platform Business (2019-2024)
11.11.5 ClearML Recent Development
11.12 Modzy
11.12.1 Modzy Company Detail
11.12.2 Modzy Business Overview
11.12.3 Modzy Machine Learning Operations (MLOps) Platform Introduction
11.12.4 Modzy Revenue in Machine Learning Operations (MLOps) Platform Business (2019-2024)
11.12.5 Modzy Recent Development
11.13 Comet
11.13.1 Comet Company Detail
11.13.2 Comet Business Overview
11.13.3 Comet Machine Learning Operations (MLOps) Platform Introduction
11.13.4 Comet Revenue in Machine Learning Operations (MLOps) Platform Business (2019-2024)
11.13.5 Comet Recent Development
11.14 Cloudera
11.14.1 Cloudera Company Detail
11.14.2 Cloudera Business Overview
11.14.3 Cloudera Machine Learning Operations (MLOps) Platform Introduction
11.14.4 Cloudera Revenue in Machine Learning Operations (MLOps) Platform Business (2019-2024)
11.14.5 Cloudera Recent Development
11.15 Paperpace
11.15.1 Paperpace Company Detail
11.15.2 Paperpace Business Overview
11.15.3 Paperpace Machine Learning Operations (MLOps) Platform Introduction
11.15.4 Paperpace Revenue in Machine Learning Operations (MLOps) Platform Business (2019-2024)
11.15.5 Paperpace Recent Development
11.16 Valohai
11.16.1 Valohai Company Detail
11.16.2 Valohai Business Overview
11.16.3 Valohai Machine Learning Operations (MLOps) Platform Introduction
11.16.4 Valohai Revenue in Machine Learning Operations (MLOps) Platform Business (2019-2024)
11.16.5 Valohai Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

IBM
DataRobot
SAS
Microsoft
Amazon
Google
Dataiku
Databricks
HPE
Lguazio
ClearML
Modzy
Comet
Cloudera
Paperpace
Valohai

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